Aon: Using the Alation Data Catalog to Create a Global Culture of Collaboration
Join us in exploring how Aon, a global professional services giant operating in 120 countries, has placed the Alation Data Catalog at the heart of its data platform. Discover how Aon, with its 50,000 employees, is fostering a data culture that thrives on collaboration and sharing. Aon's Data Transformation Highlights: Breaking down silos and enhancing collaboration Establishing high standards for data governance and data privacyAlation Data Catalog as the central integration hub In this webinar replay, Cristian Varela, Aon's Director of Enterprise Architecture, and Mitesh Shah, Alation's VP of Product Marketing, unveil how Aon harnesses the power of the Alation Data Catalog to:
Cultivate collaboration, documentation, and discovery
Simplify navigation in a complex, heterogeneous environment
Build a robust foundation for data governance, metadata management, and privacy
Embark on a journey with Aon and Alation. Watch the replay now to witness the evolution of Aon's data culture through the Alation Data Catalog!
APAC Research Report: Keeping the Pulse of Data in Asia Pacific
Alation engaged advisory & research specialists, capioIT to research help understand the state of data for APAC organisations, gathering key insights from Alation customers across a number of industries. This report highlights a highly fragmented market in its current understanding of data, but one that understands what it can do and what guidance is required in order to optimize data for their organizations. This reports deep dives into key data culture maturity insights which drive business results & success.
Customer Case Study
Vattenfall Reduces Regulatory Risk and Powers New Projects with Alation
Learn how Vattenfall accelerated project development & minimized regulatory risks using Alation in our case study. Get insights now!
How Can Organizations Measure the Value of Data Culture Maturity?
Leadership teams face challenges in justifying and demonstrating the business value of data programs, especially in financially stringent environments. How can organizations overcome the intangibility of data value, longer time horizons for impact, complex causality, changing metrics, interconnected initiatives, resistance to change, and the lack of standard metrics?